Triple
T13113817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wandlitz |
E311040
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Oliver Borchert
Oliver Borchert is a German local politician who serves as the mayor of the municipality of Wandlitz in Brandenburg.
|
E1021579
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Oliver Borchert | Statement: [Wandlitz, hasMayor, Oliver Borchert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Borchert Context triple: [Wandlitz, hasMayor, Oliver Borchert]
-
A.
Oliver Korittke
Oliver Korittke is a German actor known for his roles in film and television, particularly in comedies and crime series.
-
B.
Mathias Vogel
Mathias Vogel is a supporting character in the 2018 action-adventure film "Tomb Raider," which reboots the cinematic adaptation of the popular video game franchise.
-
C.
Fabian Wagner
Fabian Wagner is a cinematographer known for his work on major film and television productions, including the superhero ensemble film "Justice League."
-
D.
Oliver Günther
Oliver Günther is a German computer scientist and academic who serves as the president (rector) of the University of Potsdam.
-
E.
Eric Trapp
Eric Trapp is an Anglican clergyman who served as the Bishop of Bermuda.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oliver Borchert Triple: [Wandlitz, hasMayor, Oliver Borchert]
Generated description
Oliver Borchert is a German local politician who serves as the mayor of the municipality of Wandlitz in Brandenburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oliver Borchert Target entity description: Oliver Borchert is a German local politician who serves as the mayor of the municipality of Wandlitz in Brandenburg.
-
A.
Oliver Korittke
Oliver Korittke is a German actor known for his roles in film and television, particularly in comedies and crime series.
-
B.
Mathias Vogel
Mathias Vogel is a supporting character in the 2018 action-adventure film "Tomb Raider," which reboots the cinematic adaptation of the popular video game franchise.
-
C.
Fabian Wagner
Fabian Wagner is a cinematographer known for his work on major film and television productions, including the superhero ensemble film "Justice League."
-
D.
Oliver Günther
Oliver Günther is a German computer scientist and academic who serves as the president (rector) of the University of Potsdam.
-
E.
Eric Trapp
Eric Trapp is an Anglican clergyman who served as the Bishop of Bermuda.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27f5c4481909bc323c9d0c83dc9 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e32bf5508190b4dc58971f8f64d0 |
completed | May 3, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e407dd988190b928b8931985a815 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:06 p.m.